# Buycycle Scraper — Used Bikes, Prices & Specs (EU + US) (`hipersoft/buycycle-scraper`) Actor

Scrape used bike listings from buycycle in Europe and the US: brand, model, year, price, original price, MSRP, condition, frame size, groupset, category, e-bike, photos, favorites and listing date. Filter by brand, type, price, year, condition, size. Export CSV/JSON.

- **URL**: https://apify.com/hipersoft/buycycle-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00025 / listing

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Buycycle Scraper: Used Bike Listings, Prices and Specs (Europe and US)

**Buycycle Scraper** extracts listings from **buycycle**, the leading marketplace for **used and pre-owned bikes** in **Europe and the United States**, covering **road bikes, gravel bikes, mountain bikes (MTB), e-bikes, triathlon and time-trial bikes, city and touring bikes and kids' bikes**, plus **bike parts, components and cycling gear**. For every listing you get the **title, brand, model year, category, groupset, frame size, condition, asking price, original price, MSRP (new price), currency, price-reduced and high-demand flags, number of favorites and buyer offers, description, all photos, seller ID and listing date**. Filter by **brand, bike type, e-bike, condition, price, model year, frame size, frame material and seller type**, or run a **free-text search** like "Canyon Aeroad" or "Specialized Tarmac". Export to **CSV, Excel or JSON**. Ideal for **bike shops and dealers, resellers, price research, residual-value analysis, bike valuation tools and cycling market research**.

### What does Buycycle Scraper do?

- 🚲 **Used bikes**: road, gravel, MTB, e-bikes, urban, youth, plus parts and gear.
- 🌍 **Europe (EUR) and US (USD)** markets.
- 🔎 **Search** by model name, groupset or keyword.
- 🏷️ **Filters**: brand, type, e-bike, condition, price, year, size, frame material, private or shop seller.
- 💶 **Asking price, original price and MSRP** to measure depreciation.
- 🧩 **Specs**: groupset, frame size, category, year.
- ❤️ **Demand signals**: favorites, buyer offers, high-demand and price-reduced flags.
- 📦 **Complete results**: large searches are split automatically to go beyond the usual 10,000-result limit.

### What data can you scrape from buycycle?

| Field | Description |
|---|---|
| Listing | ID, title, link, listing date, last update |
| Bike | Brand, year, type, category, groupset/component, frame size, condition |
| Price | Price, original price, MSRP, currency, price-reduced flag |
| Demand | Favorites, buyer offers, high-demand flag |
| Media | Main image, all photos |
| Seller | Seller ID, country ID |
| Text | Seller description |

### Use cases for used bike data

- **Bike shops and dealers**: price trade-ins and used stock against the live market.
- **Resellers and flippers**: find under-priced bikes by model and size.
- **Valuation tools and insurers**: build residual-value curves by brand, model and year.
- **Brands**: monitor secondary-market pricing and demand for your models.
- **Market research**: analyse supply, price levels and condition across Europe and the US.

### How to scrape buycycle

1. Click **Try for free** to open Buycycle Scraper in Apify Console.
2. Choose the **market** (Europe or US) and **products**.
3. Add a **search**, **brands** and any **filters**.
4. Choose the **sort order** and **max listings**.
5. Click **Start** and download the listings as **CSV, Excel or JSON**.

### Input

#### Example input

```json
{
  "market": "europe",
  "productType": "bikes",
  "brands": ["Canyon", "Specialized"],
  "categories": ["road-gravel"],
  "conditions": ["new", "very-good"],
  "maxPrice": 3000,
  "minYear": 2021,
  "sizes": ["m", "l"],
  "sortBy": "newest",
  "maxItems": 500
}
```

| Field | Description |
|---|---|
| **Market** | europe (EUR) or us (USD). |
| **Products** | bikes, or all (incl. parts and gear). |
| **Search** | Free-text search. |
| **Bike types** | road-gravel, mountainbike, urban-touring, youth. |
| **Brands** | Brand names. |
| **E-bikes** | any, only, exclude. |
| **Condition** | new, very-good, good, fair. |
| **Seller type** | any, private, commercial. |
| **Price / year range** | Min and max. |
| **Frame sizes / materials** | XS–XL; carbon, aluminium, steel, titanium. |
| **Sort by** | newest, price-asc, price-desc, relevance. |
| **Max listings** | 0 = no limit. |

### Output

#### Listing example

```json
{
  "listingId": "2693230",
  "title": "Grizl 7 2024",
  "url": "https://buycycle.com/product/grizl-7-2024-90014",
  "productType": "bike",
  "brand": "Canyon",
  "year": 2024,
  "category": "Gravel bike",
  "type": "Road & Gravel",
  "groupset": "Shimano GRX",
  "frameSize": "M",
  "condition": "Very good",
  "price": 1610,
  "originalPrice": 1610,
  "msrp": 1899,
  "currency": "EUR",
  "favorites": 1,
  "buyerOffers": 0,
  "description": "The bicycle has only been ridden for approx. 300 km…",
  "imageUrl": "https://…/bb5a02b9.webp",
  "listedAt": "2026-10-07T17:36:04.000Z",
  "market": "europe"
}
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `listingId`, `title`, `url`, `productType` | string | Listing. |
| `brand`, `year`, `category`, `type`, `groupset`, `component`, `frameSize`, `size`, `condition` | mixed | Bike. |
| `price`, `originalPrice`, `msrp`, `currency`, `priceReduced` | mixed | Price. |
| `favorites`, `buyerOffers`, `highDemand` | mixed | Demand. |
| `description`, `imageUrl`, `images` | mixed | Content. |
| `sellerId`, `countryId` | number | Seller. |
| `listedAt`, `updatedAt`, `market`, `scrapedAt` | string | Dates and source. |

### How much does it cost?

Buycycle Scraper uses **pay-per-listing** pricing: a small fixed price per listing, with automatic discounts on higher Apify plans. See the **Pricing** tab for the exact price.

### More marketplace data

- [Collecting Cars Scraper](https://apify.com/hipersoft/collectingcars-scraper): collector car and watch auctions.
- [Bid on Equipment Scraper](https://apify.com/hipersoft/bidonequipment-scraper): used industrial equipment.
- [Fanatics Collect Scraper](https://apify.com/hipersoft/fanaticscollect-scraper): trading cards and collectibles.

### FAQ

**Can I get every bike on buycycle?**
Yes. Set Max listings to 0; large result sets are split automatically so nothing is cut off at 10,000.

**Why are EU bikes missing in the US market?**
Each market shows the listings available to buyers there; choose the market you want to analyse.

**What is MSRP?**
The manufacturer's suggested retail price when new, shown when the seller provides it.

**What formats can I export?**
CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

**Can I integrate Buycycle Scraper with other apps?**
Buycycle Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JS/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

**Is it legal to scrape buycycle?**
The scraper only collects publicly visible listing information. You are responsible for using the data in line with buycycle's terms and applicable law.

### Related Actors

- [Collecting Cars Scraper](https://apify.com/hipersoft/collectingcars-scraper)
- [Bid on Equipment Scraper](https://apify.com/hipersoft/bidonequipment-scraper)

### Notes

Original clean-room implementation. Returns only public data. Not affiliated with buycycle.

# Actor input Schema

## `market` (type: `string`):

Europe (prices in EUR) or United States (prices in USD).

## `productType` (type: `string`):

Bikes only, or everything (bikes, parts, cycling gear and other sports equipment).

## `searchQuery` (type: `string`):

Optional free-text search, e.g. "Canyon Aeroad", "Specialized Tarmac SL7", "Dura-Ace Di2".

## `categories` (type: `array`):

Optional bike types.

## `brands` (type: `array`):

Optional brands, e.g. Specialized, Trek, Canyon, Cervélo, Pinarello, Santa Cruz.

## `eBike` (type: `string`):

Include, exclude or only e-bikes.

## `conditions` (type: `array`):

Optional conditions.

## `sellerType` (type: `string`):

Private sellers, shops, or both.

## `minPrice` (type: `integer`):

Lowest price (EUR or USD depending on market).

## `maxPrice` (type: `integer`):

Highest price.

## `minYear` (type: `integer`):

Oldest model year.

## `maxYear` (type: `integer`):

Newest model year.

## `sizes` (type: `array`):

Optional frame sizes.

## `frameMaterials` (type: `array`):

Optional frame materials.

## `sortBy` (type: `string`):

Order of results.

## `maxItems` (type: `integer`):

Stop after this many listings (0 = no limit; large searches are split automatically to collect everything).

## `proxyConfiguration` (type: `object`):

Not needed in most cases.

## Actor input object example

```json
{
  "market": "europe",
  "productType": "bikes",
  "brands": [
    "Canyon"
  ],
  "eBike": "any",
  "sellerType": "any",
  "sortBy": "newest",
  "maxItems": 500,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "",
    "brands": [
        "Canyon"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/buycycle-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQuery": "",
    "brands": ["Canyon"],
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/buycycle-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "",
  "brands": [
    "Canyon"
  ]
}' |
apify call hipersoft/buycycle-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/buycycle-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xrJUcNKgFWnk2e7Hm/builds/jJgLyOs1f2Q3gwpBa/openapi.json